Exploració per autor "Olier Caparroso, Iván"
Ara es mostren els items 6-10 de 10
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Clustering and visualization of multivariate time series
Vellido Alcacena, Alfredo; Olier Caparroso, Iván (Information Science Reference, 2009)
Capítol de llibre
Accés restringit per política de l'editorialThe exploratory investigation of multivariate time series (MTS) may become extremely difficult, if not impossible, for high dimensional datasets. Paradoxically, to date, little research has been conducted on the exploration ... -
Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous
Ungan, Gülnur; Pons Escoda, Albert; Ulinic, Daniel; Arus Caraltó, Carles; Ortega Martorell, Sandra; Olier Caparroso, Iván; Vellido Alcacena, Alfredo; Majós, Carles; Julia Sape, Margarida (John Wiley & sons, 2024-01-11)
Article
Accés obertThe standard treatment in glioblastoma includes maximal safe resection followed by concomitant radiotherapy plus chemotherapy and adjuvant temozolomide. The first follow-up study to evaluate treatment response is performed ... -
Kernel generative topographic mapping of protein sequences
Cárdenas, Martha Ivón; Vellido Alcacena, Alfredo; Olier Caparroso, Iván; Rovira, Xavier; Giraldo, Jesús (IGI Global, 2012-06)
Capítol de llibre
Accés restringit per política de l'editorial -
On the benefits for model regularization of a variational formulation of GTM
Olier Caparroso, Iván; Vellido Alcacena, Alfredo (IEEE, 2008)
Text en actes de congrés
Accés obertGenerative Topographic Mapping (GTM) is a manifold learning model for the simultaneous visualization and clustering of multivariate data. It was originally formulated as a constrained mixture of distributions, for which ... -
Variational Bayesian generative topographic mapping
Olier Caparroso, Iván; Vellido Alcacena, Alfredo (2008-12)
Article
Accés restringit per política de l'editorialGeneral finite mixture models are powerful tools for the density-based grouping of multivariate i.i.d. data, but they lack data visualization capabilities, which reduces their practical applicability to real-world problems. ...